Timebase distortion causes nonlinear distortion of waveforms measured by sampling instruments. When such instruments are used to measure the rms amplitude of the sampled waveforms, such distortions result in errors in the measured root-mean squared (rms) values. This paper looks at the nature of the errors that result from nonrandom quantization errors in an instrument’s timebase circuit. Simul...

Motor learning can be defined as changing performance so as to optimize some function of the task, such as accuracy. The measure of accuracy that is optimized is called a loss function and specifies how the CNS rates the relative success or cost of a particular movement outcome. Models of pointing in sensorimotor control and learning usually assume a quadratic loss function in which the mean sq...

Small area estimation has received enormous attention in recent years due to its wide range of application, particularly in policy making decisions. The variance based on direct sample size of small area estimator is unduly large and there is a need of constructing model based estimator with low mean squared prediction error (MSPE). Estimation of MSPE and in particular the bias correction of MS...

We evaluate two density estimators based on the quantile variance and quantile-mean covariance estimated by bootstrap. review previous developments estimation related to quantiles. Monte Carlo simulations for different data generating processes, sample sizes, other parameters show that perform well in comparison benchmark non-parametric kernel estimator. Some of explored smoothing techniques pr...

| Motivated by the fact that time delays in a practical Direct-Sequence Code-Division Multiple-Access system can never be perfectly estimated, an improved Minimum-Mean Squared-Error (MMSE) based receiver is proposed and analyzed. Via the simple assumption of a probability distribution for the delay estimation errors, the proposed receiver can achieve performance superior to that of the conventi...

This paper reports a preliminary attempt on data-driven modeling of segmental (phoneme) duration for two Indian languages Hindi and Telugu. Classification and Regression Tree (CART) based data-driven duration modeling for segmental duration prediction is presented. A number of features are proposed and their usefulness and relative contribution in segmental duration prediction is assessed. Obje...

OBJECTIVES The 29-item Multiple Sclerosis Impact Scale (MSIS-29) is a psychometrically validated patient-reported outcome measure increasingly used in trials of treatments for multiple sclerosis. However, it is non-preference-based and not amenable for use across policy decision-making contexts. Our objective was to statistically map from the MSIS-29, version 2, to the EuroQol five-dimension (E...

Consider a stationary spatial process Z(x) = S(x) + (x) on I R d where S(x) is the signal process and (x) represents measurement errors. This paper studies asymptotic properties of the mean squared error for predicting the stochastic integral R D v(x)S(x) dx based on space-time observations on a xed cube D I R d. The random noise process (x) is assumed to vary with time t, and the covariance st...

Within a type of additive processes of finite jump activity (FJA), we give precise conditions for the mean-squared consistency and the validity of a feasible Central Limit Theorem for thresholded realized power variation estimators (TRV). The obtained results show that some conditions commonly used in the literature are rather strong and far from being necessary. To justify that the proposed co...